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Project Abstract
SmartTagger is a photo management app that utilizes CoreML to predict the future importance of a
photo based on both visual data and contextual metadata (such as location and time o…
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This article is a nice application of supervised learning, one of the sub categories of ML. The steps for the method they use are as follows:
1. Data Collection: Collect data for the dataset
2. Da…
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https://www.cs.cmu.edu/~pavlo/blog/2023/04/the-part-of-postgresql-we-hate-the-most.html
[The-Part-of-PostgreSQL-We-Hate-the-Most.pdf](https://github.com/user-attachments/files/17452295/The-Part-of-Po…
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### Version
1
### DataCap Applicant
Xenogic
### Project ID
Xenogic031
### Data Owner Name
Stanford University
### Data Owner Country/Region
United States
### Data Owner I…
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DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV. (arXiv:2009.01502v2 [cs.MA] UPDATED)
https://ift.tt/3gYYrOr
The Internet of Vehicles (IoV) enables real-tim…
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**Description:**
The Eliza project is gaining traction, and many developers are forking the repository to create custom agents or specialized implementations. This distributed development model is …
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### Is your feature request related to a problem? Please describe.
Introducing Rust and Golang implementations for Microsoft Autogen can significantly enhance its asynchronous capabilities and data i…
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https://arxiv.org/abs/1805.12114
- Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
- Submitted on 30 May 2018
- NIPS `Data-Efficient Model-based Reinforcement Learning with Deep Pr…
TMats updated
6 years ago
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Develop a feature to accurately predict hospital readmission rates using advanced machine …
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Hi,
The tutorial suggests that the target variable has to be a continuous variable when doing causal inference. I wonder if there are any alternative ways to do inference on discrete data (both inte…